The likelihood ratio and its graphical representation

Diagnostic tests are important clinical tools. Bayes’ theorem and Bayesian approach are important methods for interpreting test results. The Bayesian factor, the so-called likelihood ratio, has not always been well-understood. In this article, we try to discuss the likelihood ratio and its value for...

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Detalles Bibliográficos
Autores principales: Habibzadeh, Farrokh, Habibzadeh, Parham
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Croatian Society of Medical Biochemistry and Laboratory Medicine 2019
Materias:
Lessons in Biostatistics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6457916/
https://www.ncbi.nlm.nih.gov/pubmed/31015780
http://dx.doi.org/10.11613/BM.2019.020101
Descripción
Sumario:Diagnostic tests are important clinical tools. Bayes’ theorem and Bayesian approach are important methods for interpreting test results. The Bayesian factor, the so-called likelihood ratio, has not always been well-understood. In this article, we try to discuss the likelihood ratio and its value for a specific test result, a positive or negative test result, and a range of test results, along with their graphical representations.

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